Universal Computing Industry-Academia Collaboration Forum
August 22 (Friday) 15:30-17:30
Location: 3rd Floor, Shanghai Hall

Introduction:
Wang Yasha is a distinguished professor at Peking University and the director of the Software Engineering National Engineering Research Center. She is also the executive director of the New Generation Information Technology Research Institute at Peking University (Tianjin Binhai). She has been selected for national talent programs and is a distinguished member of the China Computer Federation (CCF). Wang has published over 120 papers in international top academic journals and conferences, holds more than 10 invention patents, and has contributed to national standards in smart cities and data technology. She is also the principal investigator of national key R&D projects and has received the second prize for national science and technology progress as well as the first prize for the Ministry of Education's science and technology progress award.

Talk Title: Medical Domain Large-Scale Model Systems

Abstract: 

       With the rapid development of large models, their application in vertical fields such as healthcare continues to deepen. Previous research has shown that while general large models have improved their generalization, knowledge search, and logical reasoning abilities, they cannot be directly applied to healthcare scenarios for three main reasons: first, insufficient long-tail knowledge learning; second, lack of some capabilities; and third, the mismatch of scene constraints. This talk will first analyze the challenges of applying large models to healthcare and then introduce the solutions developed by Wang's team. The presentation will conclude with a demonstration of the medical domain large-scale model system “XiaoBei Health” developed by the team and an outlook on future research directions.

Introduction:
Zhao Yunlong is a professor and doctoral supervisor at Nanjing University of Aeronautics and Astronautics. He is a distinguished member of CCF, an executive committee member of the CCF Ubiquitous Computing Special Committee, and the vice chair of the Jiangsu Computer Society's Systems Architecture Committee. He has been selected for the "Six Talents Peak" Program in Jiangsu Province and the Nanjing Leading Talent Program. His main research areas include ubiquitous computing, collective intelligence computing, wearable computing, unmanned system safety, and collaborative intelligence. Zhao leads the development of ISO and IEEE international standards and has been involved in over 60 national and provincial projects. He has received several awards including provincial and ministerial-level prizes.

Talk Title: Autonomous Coordination of Heterogeneous Unmanned Clusters

Abstract: 

       This talk focuses on the application trends of autonomous coordination of heterogeneous unmanned clusters. It analyzes the research objectives of autonomous coordination technology and the core challenges of real-time performance, adaptability, and robustness. The speaker will introduce three specific research projects: path planning for vehicle-machine coordination in energy-limited scenarios, collaborative coverage strategies for heterogeneous drones in communication-limited environments, and methods for maintaining collaborative formations and target navigation in drone clusters. These studies aim to enhance the autonomous coordination capabilities of heterogeneous unmanned clusters in various scenarios, providing reference for related research and applications.

Introduction:
Wu Kaishun is the Associate Vice President (Research) at the Hong Kong University of Science and Technology (Guangzhou), a dual-professor in the fields of Data Science & Analytics and Internet of Things. He is a Fellow of IEEE, IET, AAIA, and AIIA. Wu has published over 270 papers in top international journals and conferences, and holds more than 130 patents (including 21 U.S. patents). His work has received the 2025 IEEE INFOCOM Test of Time Paper Award and multiple provincial-level awards. He was named one of the top 2% global scientists by Stanford University in the 2020-2024 ranking and was listed as a highly cited scholar by Elsevier in 2020-2021.

Talk Title: Human-Centered Perception and Smart Healthcare: From Individual State Perception to the Future of Distributed Healthcare

Abstract: 

       At the key turning point from environmental perception to “human-centered cognition,” ubiquitous sensing and distributed intelligence are reshaping the technological foundation of next-generation healthcare services. This talk will systematically introduce our latest work on cross-modal perception, low-power communication, and the construction of distributed healthcare systems. We designed a LoRa communication framework for wide-area deployment, developed wearable devices for ear canal and dental state sensing, and implemented a collaborative understanding system that bridges physiological and semantic levels. These studies aim to build a secure, intelligent, and collaborative distributed healthcare system centered on individuals, providing a solid foundation for a more inclusive, efficient, and trustworthy future healthcare system.

Introduction:
Zhang Xiaofan is a senior member of IEEE and CCF. He has previously worked at Motorola and Huawei, and currently serves as the Head of Smart Retrieval Technology, Senior Software Architect, and Technical Expert at OPPO. Zhang has led the productization of several innovative technologies and showcased them at CCF CNCC, OPPO ColorOS launches, and OPPO Developer Conferences. He holds more than 40 patents.

Talk Title: RAG Systems for Smart Devices

Abstract: 

       This talk focuses on the Retrieval-Augmented Generation (RAG) systems for smart terminals, exploring their practical applications, core challenges, and future development. The speaker will analyze the scenarios and implementation of RAG systems on terminal devices, highlight key technical and product challenges, and discuss the future development trends and technical evolution of the field. The talk aims to present the current state and future outlook of RAG systems for smart terminals.

Introduction:
Jin Beihong has been engaged in distributed and ubiquitous computing research for years. He received the First Prize for Scientific and Technological Progress from the Chinese Academy of Sciences in 2001, the First Prize from Beijing in 2009, the National Second Prize for Scientific and Technological Progress in 2011, and a third prize from the China Highway Society in 2017. In the past five years, supported by the National Natural Science Foundation and major national R&D programs, he has published over 50 papers in top journals and applied for 15 patents (8 granted). In 2021, he won the Distinguished Paper Award at UbiComp (CCF-A), and his fetal ECG sensing technology has obtained Class II medical device certification. Several recommended technical achievements have been applied in industrial scenarios such as iQIYI cinemas, Aimacos video playback for Indian users, and Meituan food delivery, earning the 2023–2024 Meituan Outstanding Research Collaboration Award. He is a distinguished member and executive committee member of the CCF Ubiquitous Computing Special Committee.

Talk Title: Explorations in Contactless Health Perception

Abstract: 

       Monitoring and maintaining individual health is of critical importance, and disease monitoring and early warning are essential parts of health management. Contactless sensing of individual health states is not only a desirable option from a user needs perspective but also an inevitable trend in technological development. This talk will provide an overview of contactless health perception and introduce recent progress in contactless ECG sensing, contactless blood pressure sensing, and contactless sleep monitoring.